Yanhua Lin

Papers

Total Citations

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About

Yanhua Lin’s research centers on intelligent robotics, path planning, and 3D reconstruction for complex industrial environments. Their most cited work, “Improved A* Path Planning Method Based on the Grid Map” (2022, 75 citations), tackles a fundamental challenge in mobile robotics: the traditional A* algorithm’s inefficiency in obstacle-dense spaces, which produces excessive turning points and slow search speeds. Lin’s enhanced approach, validated on a robot platform with LiDAR and inertial measurement, significantly improves navigation smoothness and computational speed—a critical advance for autonomous systems in cluttered settings. In a complementary vein, Lin’s work on “Application of 3D reconstruction technology based on an improved MC algorithm in a shotcreting robot” (2022) addresses real-world tunnel spraying operations. By refining the marching cube algorithm with point cloud splicing and normal re-orientation, Lin enables precise arch surface reconstruction from explosion-proof LiDAR data, directly improving automation in hazardous construction zones. Together, these contributions demonstrate Lin’s impact at the intersection of algorithmic optimization and practical robotics, with the path planning paper’s 75 citations underscoring its value to researchers and engineers seeking more efficient navigation solutions.